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<div class="title">The spGPU library documentation </div>  </div>
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<div class="textblock"><h1><a class="anchor" id="intro_sec"></a>
Introduction</h1>
<p>spGPU is a set of custom matrix storages and CUDA kernels for sparse linear algebra computing on GPU. It isn't a replacement for cuBLAS/cuSPARSE that should be used for a full featured linear algebra environment on GPU.<br />
The main matrix storage used by spGPU is a GPU-friendly ELLpack format, as well as our HELL (Hacked ELLpack) format, an enhanced version of ELLpack with some interesting memory saving properties.<br />
HELL format provides a better memory storage compared to ELL (it avoids allocation inefficency provided by spikes in row sizes), while providing quite the same performances for sparse matrix-vector multiply routine..</p>
<h1><a class="anchor" id="install_sec"></a>
How to build spgpu</h1>
<h2><a class="anchor" id="linuxbuild"></a>
Linux (and other unix systems)</h2>
<p>cd spgpu/build/cmake<br />
sh configure.sh<br />
make </p>
<h1><a class="anchor" id="cr_sec"></a>
Copyright</h1>
<p>Copyright (C) 2010 - 2015<br />
 Davide Barbieri - University of Rome Tor Vergata<br />
 Valeria Cardellini - University of Rome Tor Vergata<br />
 Salvatore Filippone - University of Rome Tor Vergata</p>
<p>This program is free software; you can redistribute it and/or<br />
modify it under the terms of the GNU General Public License<br />
version 3 as published by the Free Software Foundation.</p>
<p>This program is distributed in the hope that it will be useful,<br />
but WITHOUT ANY WARRANTY; without even the implied warranty of<br />
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the<br />
GNU General Public License for more details. </p>
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